The Tool Desk
Outbyte PC Repair FREEClear out junk files and repair common Windows errorsFree Scan →Outbyte Driver Updater FREEFix the driver behind crashes, sound loss and screen glitchesFind Drivers →Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
You can run an AI language model on your own computer by installing a local model runner, downloading compatible model weights, and loading them into memory. For a first chat, LM Studio offers a graphical workflow; Ollama is another option, with installers for major desktop platforms and a local API for apps. “Open-source” is not a blanket license: check the terms for the specific model you download.
What you need to know before installing
The runner and the model are separate
A model runner is the application that loads model weights and performs inference. The weights are the files containing the trained model; LM Studio says they are commonly distributed in formats such as .gguf or .safetensors. You choose and download a model, then the runner loads it into memory so you can use it.
As an Amazon Associate I earn from qualifying purchases.
Check memory, storage, and licensing
- Memory: loading a model allocates RAM for its weights and other parameters. Requirements vary by runner and model. The recommendations below are for LM Studio, not universal minimums for all local AI software.
- Disk space: model files can be large. Ollama’s Windows documentation says its model storage may range from tens to hundreds of GB, depending on what you download. Plan for the files you actually intend to keep; extra storage is optional, not a requirement for running a model.
- License: downloadable weights do not automatically mean unrestricted use. LM Studio notes that models are released under different licenses and degrees of openness. Read the selected model’s license and use restrictions, especially before commercial use.
- Performance: speed depends on your hardware. Ollama cautions that large models can be slow on computers without a strong GPU. Do not assume a particular model will run quickly or well without testing that model on your machine.
Check whether your computer meets LM Studio’s requirements
LM Studio’s current requirements page, accessed in 2026, gives the following platform guidance. These are vendor recommendations and support details, not a guarantee that every model will fit or run at a useful speed.
Quick wins for a faster PC:
Fix the driver behind crashes, sound loss and screen glitchesFind Drivers →Clear out junk files and repair common Windows errorsFree Scan →Scan for outdated or missing drivers - takes under a minuteDriver Scan →Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
| Platform | LM Studio requirements and recommendations |
|---|---|
| macOS | Apple Silicon M1, M2, M3, or M4; macOS 14.0 or later; 16 GB or more RAM recommended. The documentation says 8 GB may work with smaller models and modest context. Intel Macs are not currently supported. |
| Windows | x64 and Snapdragon X Elite ARM are supported. AVX2 is required on x64. At least 16 GB RAM and 4 GB dedicated VRAM are recommended. |
| Linux | x64 and ARM64 are supported through an AppImage distribution; Ubuntu 20.04 or later is required. |
For the latest supported chips, operating systems, and distribution details, check LM Studio’s system requirements before installing.
#1 Best Overall
MINISFORUM MS-S1 MAX Mini AI Workstation PC, AMD Ryzen AI Max+ 395 (16C/32T),RDNA3.5 GPU,128GB LPDDR5x RAM 2TB SSMINI PC, Dual M.2 PCIe 4.0,PCIe x16 Slot, USB4 V2(80Gbps)& Dual 10GbE, 320W PSU,Wi-Fi 7
- 【High-Performance APU】The MS-S1 MAX features an AMD Ryzen AI Max+ 395 APU, integrating a Zen 5 architecture CPU (up to 5.1GHz, 16C/32T, 64M L3 Cache), an RDNA 3.5 GPU, and an NPU (50 TOPS). The total system output is 126 TOPS. It provides powerful parallel computing capabilities for demanding AI workflows. It is ideal for running local LLMs, multimodal models, and computationally intensive tasks
- 【128GB UMA Memory】Equipped with up to 128GB of LPDDR5x-8000MT/s unified memory, it enables the CPU and GPU to access a shared, high-bandwidth memory pool with extremely low latency. Ideal for large-scale AI inference, 3D workloads, and complex timelines in video editing. It eliminates traditional VRAM bottlenecks, ensuring smoother data transfer during high-intensity computations. The UMA design maximizes performance stability under high loads
- 【Flexible Expansion】The MS-S1 MAX features USB4 V2 (up to 80Gbps), dual 10GbE LAN, HDMI 2.1 (up to 8K60), a full-length PCIe x16 expansion slot, and dual M.2 slots supporting up to 16TB RAID 0/1. Wi-Fi 7 provides stronger signal coverage and a more stable wireless experience. The slide-out design facilitates upgrades and maintenance. It easily adapts to personal, studio, or rack-mount enterprise environments
- 【High-Efficiency Cooling System】Utilizing an aerospace-grade aluminum alloy chassis, copper base plate, six heat pipes, dual turbine fans, and advanced PCM thermal conductive material, it maintains stable cooling performance even under continuous load. This system supports 130W continuous power and 160W peak power operation, with a built-in 320W power supply. It boasts multiple global certifications including CCC, FCC, UL, CE, and UKCA, ensuring stable and reliable operation in various environments
- 【Cluster Design】Two MS-S1 MAX units can be configured as a dual-unit cluster to run a large 235B Q4 model locally, achieving an output speed of 10.87 tok/s. Supporting 2U rack deployment, multiple MS-S1 MAX units can be cascaded into a distributed cluster to create a high-efficiency AI computing center. A cluster of four MS-S1 MAX units successfully ran a DeepSeek-R1 671B Q4 large model. A reserved cluster power-on interface allows for unified start-up and shutdown
Run your first model with LM Studio
This is the more straightforward route if you want to download and chat with a model using a graphical interface.
- Confirm compatibility. Check your operating system, processor, RAM, and—on Windows—dedicated GPU memory against LM Studio’s requirements.
- Install LM Studio. Get the current application from the official LM Studio guide.
- Find and download a model. Open Discover, select a curated model or search the catalog, and download its weights. Review the model’s license and intended use before choosing it.
- Load the downloaded model. Open Chat, use the model loader to select the download, and load it. The runner allocates memory for the weights and other parameters; if the model does not load, try a smaller model or free up memory.
- Start chatting. Once the model is loaded, send it a prompt in Chat and continue the conversation.
Use Ollama instead
Ollama provides installation options for Windows, macOS, and Linux. Its official download page shows a Windows installer and shell commands for macOS and Linux. Use the current instructions for your platform rather than relying on an old third-party command.
Rank #2
BOSGAME Mini PC M5, Ryzen AI Max+ 395, 128GB LPDDR5 RAM, 2TB NVMe SSD
- Built for Local AI and Advanced Workflows – The BOSGAME M5 AI Mini PC is powered by AMD Ryzen AI Max+ 395 with 16 cores, 32 threads, up to 5.1GHz, 50 TOPS NPU performance and up to 126 TOPS total AI performance. It is designed for local AI inference, private AI assistants, coding, data analysis, virtualization, content creation and demanding multitasking while keeping sensitive data on the device.
- 128GB Unified Memory for Large Models and Creative Projects – M5 includes 128GB LPDDR5X-8000 unified memory, giving the CPU and Radeon 8060S graphics access to a large shared memory pool. This helps support memory-intensive AI workloads, large project files, multiple virtual machines, 3D work, video editing and complex professional applications without the capacity limits of typical 32GB or 64GB mini computers.
- Radeon 8060S Graphics for Creation, Rendering and Gaming – Integrated Radeon 8060S graphics with 40 RDNA 3.5 compute units delivers high-end visual performance without a separate graphics card. Use the M5 creator workstation for 4K video editing, 3D rendering, CAD, AI image workflows, high-resolution media and modern gaming, while maintaining a compact desktop footprint.
- 2TB PCIe 4.0 SSD and Flexible Expansion – A pre-installed 2TB NVMe PCIe 4.0 SSD provides fast access to models, datasets, media libraries and project files. A second M.2 2280 PCIe 4.0 slot allows additional storage expansion, while the SD 4.0 card reader supports efficient photo and video workflows for creators and production teams.
- Professional Connectivity and Four-Display Support – Dual USB4 ports, HDMI 2.1 and DisplayPort 1.4 support up to four displays and resolutions up to 8K@60Hz. WiFi 7, Bluetooth 5.4 and 2.5GbE deliver fast networking for cloud collaboration, NAS access and business deployment. Windows 11 Pro, performance-mode switching, Wake-on-LAN and auto power-on support flexible workstation use.
Windows details
Ollama documents support for Windows 10 version 22H2 or newer. It can be used as an application or from Command Prompt or PowerShell. Model files may take tens to hundreds of GB, depending on the models downloaded. To choose a different model storage location, Windows users can set the OLLAMA_MODELS environment variable; see the Ollama Windows documentation for the current instructions.
DriversOutdated Drivers Are Slowing You DownPerformancePC Slower Than It Used to Be?DriversCrashes, No Sound, or Screen Glitches?
Special offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
GPU acceleration depends on the hardware and driver path: the Windows documentation specifies NVIDIA driver 551.61 or newer for NVIDIA acceleration and describes AMD ROCm/HIP or Vulkan driver options. Check the current platform and GPU documentation for your exact setup; having a GPU does not by itself guarantee that Ollama will use it.
Rank #3
AMD Ryzen™ AI Halo - Personal AI Desktop Computer - Developer Platform - Linux OS
- Built for Local AI Development: AMD Ryzen AI Halo is designed for local AI development and inference, featuring 128GB unified memory and support for up to 200B parameter models to build and run intensive AI workloads locally.
- 128GB Unified Memory: Features 128GB LPDDR5x unified memory at 8000 MT/s with 256 GB/s memory bandwidth, providing a shared memory pool across the CPU, GPU, and NPU to support larger AI models.
- AMD Ryzen AI Max+ 395 Processor: Features 16 cores, 32 threads, and Zen 5 architecture, paired with AMD Radeon 8060S integrated graphics featuring 40 RDNA 3.5 compute units and an AMD XDNA 2 NPU with up to 50 TOPS.
- Linux AI Developer Platform: Purpose-built for Linux-based AI development with full AMD ROCm software support and preloaded tools, models, and workflows optimized for local AI development.
- Compact, Connected Design: Includes a 2TB M.2 SSD, 10GbE LAN, Wi-Fi 7, Bluetooth 5.4, USB-C connectivity, and HDMI 2.1b.
Optional: connect an app to Ollama
Ollama’s Windows documentation lists a local API at http://localhost:11434, which can let applications on your computer communicate with the runner. The API is not needed for a first chat. If you are building an integration, use Ollama’s current documentation and examples rather than treating the endpoint as a user-facing chat interface.
Context length is different from model size
Ollama’s FAQ lists a default context window of 4096 tokens and documents ways to override it. Context is the amount of text the model can consider in a request; it is not the size of the model file. Increasing context can change memory use, so leave the default alone unless your task needs a longer conversation or document and your computer has enough memory. See the Ollama FAQ for the available settings.
Rank #4
Sale
GMKtec X3 AI Mini PC AMD Ryzen Al Max+ 395 128GB LPDDR5X 2TB PCIe 4.0 SSD
- Unlock next-generation AI computing with AMD Ryzen AI Max+ 395 processor featuring 16 cores, 32 threads, up to 5.1GHz boost clock, and integrated Ryzen AI engine delivering up to 126 TOPS AI performance. EVO-X3 is designed for local AI models, content creation, development, and professional workloads.
- OCuLink External GPU Expansion – Upgrade Beyond a Mini PC: Take your graphics performance further with a dedicated OCuLink (PCIe 4.0 x4) interface. Connect an external GPU dock to add desktop-class graphics power for AAA gaming, AI acceleration, 3D rendering, video production, and advanced creative applications. EVO-X3 gives you the flexibility of a compact PC with workstation-level expansion capability.
- AI NPU with XDNA 2 ARCHITECTURE - Powered by 16 “Zen 5” CPU cores, 50+ peak AI TOPS XDNA 2 NPU and a truly massive integrated GPU driven by 40 AMD RDNA 3.5 CUs, the Ryzen AI MAX+ 395 is a transformative upgrade and delivers a significant performance boost over the competition. The Ryzen AI Max+ 395 excels in consumer AI workloads like the llama.cpp-powered application: LM Studio. Shaping up to be the must-have app for client LLM workloads, LM Studio allows users to locally run the latest language model without any technical knowledge required and unleash their creativity and productivity.
- AMD RADEON 8090S iGPU GAMING PC - The AMD Radeon RX 8060S offers all 40 CUs with up to 2.9 GHz graphics clock and uses the new RDNA 3.5 architecture. The powerful iGPU is positioned between an RTX 4060 and 4070 laptop GPU and therefore enables gaming in FHD at maximum details in most demanding games. The 8060S can also utilize the full 128GB pool, which is perfect for running LLMs such as Deepseek 70B Q8, which runs comfortably on this machine.
- EIGHT CHANNEL LPDDR5X - LPDDR5X is a new ground breaking memory small form factor installed on-board. With blazing speeds up to to 8000MT/s, it runs 1.5x faster than the DDR5 SODIMMs; 90% better performance over DDR5 SODIMMs in video conferencing and photo editing; 30% better performance in productivity apps; 12% better performance in digital content workloads.
Choose a beginner path
| If you want to… | Start with… |
|---|---|
| Download a model and chat through a graphical interface | LM Studio’s Discover-to-Chat workflow. |
| Use command-line tools or connect software through a local API | Ollama, following its current installer and platform instructions. |
| Run a model on a specific computer | Check that runner’s requirements, then consider RAM, GPU memory, and free disk space together. |
The documentation establishes these workflow differences, but does not provide benchmark evidence for a universal performance winner. Hardware support, model catalogs, drivers, and defaults can change; consult the official pages linked above when setting up a particular computer.
Do these 3 things before closing this tab:
1Clear out junk files and repair common Windows errors2Fix the driver behind crashes, sound loss and screen glitches3Repair Windows errors before they cause bigger problemsSpecial offer. See more information about Outbyte and uninstall instructions. Please review EULA and Privacy policy.
Quick Recap
Best Value
MINISFORUM MS-S1 Max Mini Workstation AMD Ryzen AI Max+ 395(16C/32T) 64GB LPDDR5 2TB SSD Mini PC, HDMI+2X USB4+2X USB4 V2 Video Output, 2x10G RJ45 Port, WiFi7, BT5.4, Radeon 8060S Graphics Computer
- 【Leading AI Mini Workstation】MINISFORUM AI MS-S1 Max Workstation comes with AMD Ryzen AI Max+ 395 processor, which uses AMD's latest generation Zen 5 architecture. It has 16 Cores and 32 Threads, the boost clock is up to 5.1GHz. The overall processor performance is up to 126 TOPS, and the NPU performance reaches up to 50 TOPS. AMD Ryzen AI enables improved productivity, advanced collaboration, and improved efficiency.
- 【AMD Radeon 8060S Graphics 】The MS-S1 Max Mini PC equipped with AMD Radeon 8060S Graphics which built on the new generation of RDNA 3.5 architecture AMD graphics, it brings ultra-high frame rate experiences and advanced content creation features anywhere and delivers staggering performance. It can handle all your computing and multimedia tasks efficiently.
- 【Five 8K Video Output】This MS-S1 Max Workstation comes with five video outputs, 1x HDMI (8K@60Hz), 2x USB4(40Gbps,Alt DP2.0,PD out 15W) and 2x USB4 V2(80Gbps,Alt DP2.0,PD out 15W) Outputs, which support multiple monitors display at the same time and provide a larger and wider filed of view and improve your work efficiency. It is used in fields that require high-performance computing and graphics processing, including digital signage and securities trading, as well as work that uses CAD, such as engineering design, scientific calculations, animation production, and post-production for movies and television
- 【 Fast and Stable Wire & Wireless Speed】It comes with Two 10G Lan Ports for wired connection and and Wi-Fi 7 / BT5.4 for wireless connection, which increased the network speed greatly and expand its functions and improved performance of computer to a large extent and allows you to use more networks such as software routers (OpenWRT / DD-WRT / Tomato etc.), firewalls, NAT, network isolation etc.
- 【Large Storage & Flexible Expandability】This Workstation equipped with 64GB LPDDR5-8000MHz + 2TB M.2 2280 PCIe4.0 SSD. There is another PCIe4.0 SSD slot available for up to 8TB, these SSD slots are compatible with RAID0 and RAID1, you can store movies, videos, photos, important files easily. What’s more, it also comes with 1x standard PCIex16 slot(PCIe4.0x4) inside.
Product prices and availability are accurate as of the date/time indicated and are subject to change. Any price and availability information displayed on Amazon at the time of purchase will apply.
